Wine Quality Profiling Report

Dataset statistics

Number of variables	13
Number of observations	1119
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	113.8 KiB
Average record size in memory	104.1 B

Variable types

Numeric	12
Categorical	1

Warnings

`df_index` has unique values	Unique
`citric acid` has 89 (8.0%) zeros	Zeros

Reproduction

Analysis started	2021-03-25 13:02:19.065798
Analysis finished	2021-03-25 13:02:36.724554
Duration	17.66 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

df_index
Real number (ℝ_≥0)

UNIQUE

Distinct	1119
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	803.5951743
Minimum	0
Maximum	1597
Zeros	1
Zeros (%)	0.1%
Memory size	8.9 KiB

Quantile statistics

Minimum	0
5-th percentile	81.9
Q1	402.5
median	815
Q3	1211.5
95-th percentile	1513.3
Maximum	1597
Range	1597
Interquartile range (IQR)	809

Descriptive statistics

Standard deviation	464.4960237
Coefficient of variation (CV)	0.5780224154
Kurtosis	-1.221779008
Mean	803.5951743
Median Absolute Deviation (MAD)	406
Skewness	-0.02231380404
Sum	899223
Variance	215756.556
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	0.1%
1077	1	0.1%
1084	1	0.1%
1083	1	0.1%
1082	1	0.1%
1081	1	0.1%
1080	1	0.1%
1078	1	0.1%
1075	1	0.1%
1067	1	0.1%
Other values (1109)	1109	99.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	0.1%
1	1	0.1%
2	1	0.1%
3	1	0.1%
6	1	0.1%

Value	Count	Frequency (%)
1597	1	0.1%
1596	1	0.1%
1591	1	0.1%
1589	1	0.1%
1587	1	0.1%

fixed acidity
Real number (ℝ_≥0)

Distinct	92
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.326988382
Minimum	4.6
Maximum	15.9
Zeros	0
Zeros (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	4.6
5-th percentile	6.1
Q1	7.1
median	7.9
Q3	9.3
95-th percentile	11.7
Maximum	15.9
Range	11.3
Interquartile range (IQR)	2.2

Descriptive statistics

Standard deviation	1.751024477
Coefficient of variation (CV)	0.2102830455
Kurtosis	1.024266318
Mean	8.326988382
Median Absolute Deviation (MAD)	1
Skewness	0.9546524359
Sum	9317.9
Variance	3.066086718
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7.2	43	3.8%
7	41	3.7%
7.1	41	3.7%
7.8	36	3.2%
7.7	36	3.2%
7.9	34	3.0%
7.3	33	2.9%
7.4	33	2.9%
8.3	33	2.9%
7.5	32	2.9%
Other values (82)	757	67.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
4.6	1	0.1%
4.7	1	0.1%
4.9	1	0.1%
5	4	0.4%
5.1	2	0.2%

Value	Count	Frequency (%)
15.9	1	0.1%
15.5	2	0.2%
15	2	0.2%
14.3	1	0.1%
13.8	1	0.1%

volatile acidity
Real number (ℝ_≥0)

Distinct	136
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5283735478
Minimum	0.12
Maximum	1.58
Zeros	0
Zeros (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	0.12
5-th percentile	0.26
Q1	0.39
median	0.52
Q3	0.64
95-th percentile	0.87
Maximum	1.58
Range	1.46
Interquartile range (IQR)	0.25

Descriptive statistics

Standard deviation	0.1872054391
Coefficient of variation (CV)	0.3543050932
Kurtosis	1.429278759
Mean	0.5283735478
Median Absolute Deviation (MAD)	0.125
Skewness	0.734166583
Sum	591.25
Variance	0.03504587644
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.5	36	3.2%
0.6	32	2.9%
0.59	29	2.6%
0.43	28	2.5%
0.39	27	2.4%
0.56	26	2.3%
0.54	25	2.2%
0.36	25	2.2%
0.49	24	2.1%
0.34	24	2.1%
Other values (126)	843	75.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.12	3	0.3%
0.16	1	0.1%
0.18	7	0.6%
0.19	2	0.2%
0.2	3	0.3%

Value	Count	Frequency (%)
1.58	1	0.1%
1.33	2	0.2%
1.24	1	0.1%
1.185	1	0.1%
1.18	1	0.1%

citric acid
Real number (ℝ_≥0)

ZEROS

Distinct	78
Distinct (%)	7.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2704647006
Minimum	0
Maximum	1
Zeros	89
Zeros (%)	8.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.09
median	0.26
Q3	0.42
95-th percentile	0.6
Maximum	1
Range	1
Interquartile range (IQR)	0.33

Descriptive statistics

Standard deviation	0.1943724326
Coefficient of variation (CV)	0.7186610012
Kurtosis	-0.7481196384
Mean	0.2704647006
Median Absolute Deviation (MAD)	0.16
Skewness	0.3227247484
Sum	302.65
Variance	0.03778064254
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	89	8.0%
0.49	53	4.7%
0.02	36	3.2%
0.24	35	3.1%
0.1	28	2.5%
0.26	28	2.5%
0.01	26	2.3%
0.32	24	2.1%
0.31	23	2.1%
0.3	23	2.1%
Other values (68)	754	67.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	89	8.0%
0.01	26	2.3%
0.02	36	3.2%
0.03	20	1.8%
0.04	19	1.7%

Value	Count	Frequency (%)
1	1	0.1%
0.78	1	0.1%
0.76	1	0.1%
0.75	1	0.1%
0.74	4	0.4%

residual sugar
Real number (ℝ_≥0)

Distinct	82
Distinct (%)	7.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.547140304
Minimum	0.9
Maximum	15.4
Zeros	0
Zeros (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	0.9
5-th percentile	1.5
Q1	1.9
median	2.2
Q3	2.6
95-th percentile	5.155
Maximum	15.4
Range	14.5
Interquartile range (IQR)	0.7

Descriptive statistics

Standard deviation	1.474163554
Coefficient of variation (CV)	0.578752396
Kurtosis	27.1701457
Mean	2.547140304
Median Absolute Deviation (MAD)	0.3
Skewness	4.502597884
Sum	2850.25
Variance	2.173158183
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	114	10.2%
2.1	96	8.6%
1.8	90	8.0%
1.9	87	7.8%
2.2	86	7.7%
2.3	75	6.7%
2.5	59	5.3%
2.4	56	5.0%
1.7	54	4.8%
2.6	52	4.6%
Other values (72)	350	31.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.9	1	0.1%
1.2	6	0.5%
1.3	4	0.4%
1.4	25	2.2%
1.5	24	2.1%

Value	Count	Frequency (%)
15.4	2	0.2%
13.9	1	0.1%
13.8	2	0.2%
13.4	1	0.1%
12.9	1	0.1%

chlorides
Real number (ℝ_≥0)

Distinct	137
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.08721179625
Minimum	0.012
Maximum	0.61
Zeros	0
Zeros (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	0.012
5-th percentile	0.0539
Q1	0.07
median	0.079
Q3	0.09
95-th percentile	0.1261
Maximum	0.61
Range	0.598
Interquartile range (IQR)	0.02

Descriptive statistics

Standard deviation	0.04635015679
Coefficient of variation (CV)	0.5314665995
Kurtosis	39.41137621
Mean	0.08721179625
Median Absolute Deviation (MAD)	0.01
Skewness	5.522244191
Sum	97.59
Variance	0.002148337034
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.08	48	4.3%
0.074	38	3.4%
0.084	36	3.2%
0.076	36	3.2%
0.078	36	3.2%
0.075	34	3.0%
0.079	31	2.8%
0.082	31	2.8%
0.071	30	2.7%
0.077	29	2.6%
Other values (127)	770	68.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.012	2	0.2%
0.034	1	0.1%
0.038	2	0.2%
0.039	3	0.3%
0.041	2	0.2%

Value	Count	Frequency (%)
0.61	1	0.1%
0.467	1	0.1%
0.464	1	0.1%
0.415	2	0.2%
0.414	1	0.1%

free sulfur dioxide
Real number (ℝ_≥0)

Distinct	56
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.9075067
Minimum	1
Maximum	72
Zeros	0
Zeros (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	7
median	14
Q3	22
95-th percentile	36
Maximum	72
Range	71
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.46171045
Coefficient of variation (CV)	0.6576587168
Kurtosis	1.287384821
Mean	15.9075067
Median Absolute Deviation (MAD)	7
Skewness	1.121108554
Sum	17800.5
Variance	109.4473855
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	104	9.3%
5	72	6.4%
10	61	5.5%
15	51	4.6%
7	49	4.4%
17	48	4.3%
12	46	4.1%
8	43	3.8%
16	43	3.8%
9	42	3.8%
Other values (46)	560	50.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	0.2%
3	37	3.3%
4	26	2.3%
5	72	6.4%
5.5	1	0.1%

Value	Count	Frequency (%)
72	1	0.1%
57	1	0.1%
55	2	0.2%
53	1	0.1%
52	1	0.1%

total sulfur dioxide
Real number (ℝ_≥0)

Distinct	137
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	46.05317248
Minimum	6
Maximum	289
Zeros	0
Zeros (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	6
5-th percentile	11
Q1	21.5
median	37
Q3	61.5
95-th percentile	111
Maximum	289
Range	283
Interquartile range (IQR)	40

Descriptive statistics

Standard deviation	32.72557722
Coefficient of variation (CV)	0.7106041878
Kurtosis	3.378574384
Mean	46.05317248
Median Absolute Deviation (MAD)	18
Skewness	1.468079636
Sum	51533.5
Variance	1070.963405
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28	32	2.9%
24	29	2.6%
14	26	2.3%
23	25	2.2%
13	23	2.1%
12	23	2.1%
31	23	2.1%
18	23	2.1%
20	22	2.0%
19	22	2.0%
Other values (127)	871	77.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	3	0.3%
7	3	0.3%
8	12	1.1%
9	9	0.8%
10	21	1.9%

Value	Count	Frequency (%)
289	1	0.1%
165	1	0.1%
160	1	0.1%
155	1	0.1%
153	1	0.1%

density
Real number (ℝ_≥0)

Distinct	380
Distinct (%)	34.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.9967307864
Minimum	0.99007
Maximum	1.00369
Zeros	0
Zeros (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	0.99007
5-th percentile	0.993694
Q1	0.9956
median	0.99675
Q3	0.9978
95-th percentile	0.99982
Maximum	1.00369
Range	0.01362
Interquartile range (IQR)	0.0022

Descriptive statistics

Standard deviation	0.001873231332
Coefficient of variation (CV)	0.001879375412
Kurtosis	0.9928372329
Mean	0.9967307864
Median Absolute Deviation (MAD)	0.00111
Skewness	0.04475507833
Sum	1115.34175
Variance	3.508995624 × 10⁶
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.9976	28	2.5%
0.9972	27	2.4%
0.9968	26	2.3%
0.998	22	2.0%
0.9964	19	1.7%
0.9962	19	1.7%
0.9978	18	1.6%
0.9994	17	1.5%
0.9982	17	1.5%
0.9974	17	1.5%
Other values (370)	909	81.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.99007	1	0.1%
0.9902	1	0.1%
0.99064	2	0.2%
0.99084	1	0.1%
0.9912	1	0.1%

Value	Count	Frequency (%)
1.00369	2	0.2%
1.00315	2	0.2%
1.00289	1	0.1%
1.00242	2	0.2%
1.0022	1	0.1%

pH
Real number (ℝ_≥0)

Distinct	87
Distinct (%)	7.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.311581769
Minimum	2.74
Maximum	4.01
Zeros	0
Zeros (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	2.74
5-th percentile	3.07
Q1	3.2
median	3.31
Q3	3.4
95-th percentile	3.57
Maximum	4.01
Range	1.27
Interquartile range (IQR)	0.2

Descriptive statistics

Standard deviation	0.1554999447
Coefficient of variation (CV)	0.04695639592
Kurtosis	0.8283758425
Mean	3.311581769
Median Absolute Deviation (MAD)	0.1
Skewness	0.2572464852
Sum	3705.66
Variance	0.0241802328
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.36	40	3.6%
3.3	38	3.4%
3.26	37	3.3%
3.38	35	3.1%
3.39	35	3.1%
3.29	32	2.9%
3.34	31	2.8%
3.28	30	2.7%
3.35	29	2.6%
3.2	28	2.5%
Other values (77)	784	70.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.74	1	0.1%
2.86	1	0.1%
2.87	1	0.1%
2.88	1	0.1%
2.89	2	0.2%

Value	Count	Frequency (%)
4.01	1	0.1%
3.9	2	0.2%
3.85	1	0.1%
3.78	2	0.2%
3.75	1	0.1%

sulphates
Real number (ℝ_≥0)

Distinct	88
Distinct (%)	7.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.6568007149
Minimum	0.33
Maximum	2
Zeros	0
Zeros (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	0.33
5-th percentile	0.47
Q1	0.55
median	0.62
Q3	0.73
95-th percentile	0.931
Maximum	2
Range	1.67
Interquartile range (IQR)	0.18

Descriptive statistics

Standard deviation	0.1717075835
Coefficient of variation (CV)	0.2614302628
Kurtosis	12.10349772
Mean	0.6568007149
Median Absolute Deviation (MAD)	0.08
Skewness	2.465418694
Sum	734.96
Variance	0.02948349424
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.6	49	4.4%
0.62	46	4.1%
0.54	46	4.1%
0.56	44	3.9%
0.58	44	3.9%
0.53	38	3.4%
0.63	37	3.3%
0.59	34	3.0%
0.55	34	3.0%
0.61	33	2.9%
Other values (78)	714	63.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.33	1	0.1%
0.37	2	0.2%
0.39	6	0.5%
0.4	4	0.4%
0.42	2	0.2%

Value	Count	Frequency (%)
2	1	0.1%
1.98	1	0.1%
1.95	1	0.1%
1.62	1	0.1%
1.61	1	0.1%

alcohol
Real number (ℝ_≥0)

Distinct	59
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.42569258
Minimum	8.4
Maximum	14.9
Zeros	0
Zeros (%)	0.0%
Memory size	8.9 KiB

Quantile statistics

Minimum	8.4
5-th percentile	9.2
Q1	9.5
median	10.2
Q3	11.1
95-th percentile	12.5
Maximum	14.9
Range	6.5
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	1.049734448
Coefficient of variation (CV)	0.1006872627
Kurtosis	0.2184899676
Mean	10.42569258
Median Absolute Deviation (MAD)	0.7
Skewness	0.8466690132
Sum	11666.35
Variance	1.101942411
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.5	95	8.5%
9.4	76	6.8%
9.8	58	5.2%
9.2	51	4.6%
10	48	4.3%
10.5	42	3.8%
9.6	41	3.7%
9.3	39	3.5%
11	38	3.4%
9.7	38	3.4%
Other values (49)	593	53.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
8.4	2	0.2%
8.5	1	0.1%
8.8	2	0.2%
9	19	1.7%
9.1	11	1.0%

Value	Count	Frequency (%)
14.9	1	0.1%
14	4	0.4%
13.6	2	0.2%
13.5	1	0.1%
13.4	3	0.3%

quality
Categorical

Distinct	2
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	8.9 KiB

0	967
1	152

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1119
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Value	Count	Frequency (%)
0	967	86.4%
1	152	13.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	967	86.4%
1	152	13.6%

Most occurring characters

Value	Count	Frequency (%)
0	967	86.4%
1	152	13.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1119	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	967	86.4%
1	152	13.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	1119	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	967	86.4%
1	152	13.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1119	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	967	86.4%
1	152	13.6%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	df_index	fixed acidity	volatile acidity	citric acid	residual sugar	chlorides	free sulfur dioxide	total sulfur dioxide	density	pH	sulphates	alcohol	quality
0	1169	7.6	0.50	0.29	2.3	0.086	5.0	14.0	0.99502	3.32	0.62	11.5	0
1	1510	6.4	0.36	0.21	2.2	0.047	26.0	48.0	0.99661	3.47	0.77	9.7	0
2	982	7.3	0.52	0.32	2.1	0.070	51.0	70.0	0.99418	3.34	0.82	12.9	0
3	1520	6.5	0.53	0.06	2.0	0.063	29.0	44.0	0.99489	3.38	0.83	10.3	0
4	283	8.9	0.40	0.32	5.6	0.087	10.0	47.0	0.99910	3.38	0.77	10.5	1
5	883	7.2	0.60	0.04	2.5	0.076	18.0	88.0	0.99745	3.53	0.55	9.5	0
6	760	9.0	0.58	0.25	2.8	0.075	9.0	104.0	0.99779	3.23	0.57	9.7	0
7	812	10.8	0.45	0.33	2.5	0.099	20.0	38.0	0.99818	3.24	0.71	10.8	0
8	822	6.7	0.54	0.13	2.0	0.076	15.0	36.0	0.99730	3.61	0.64	9.8	0
9	1337	6.0	0.50	0.00	1.4	0.057	15.0	26.0	0.99448	3.36	0.45	9.5	0

Last rows

	df_index	fixed acidity	volatile acidity	citric acid	residual sugar	chlorides	free sulfur dioxide	total sulfur dioxide	density	pH	sulphates	alcohol	quality
1109	1094	6.6	0.725	0.09	5.5	0.117	9.0	17.0	0.99655	3.35	0.49	10.8	0
1110	224	8.4	0.635	0.36	2.0	0.089	15.0	55.0	0.99745	3.31	0.57	10.4	0
1111	1428	7.8	0.640	0.00	1.9	0.072	27.0	55.0	0.99620	3.31	0.63	11.0	0
1112	69	8.0	0.705	0.05	1.9	0.074	8.0	19.0	0.99620	3.34	0.95	10.5	0
1113	758	8.1	0.870	0.00	2.2	0.084	10.0	31.0	0.99656	3.25	0.50	9.8	0
1114	997	5.6	0.660	0.00	2.2	0.087	3.0	11.0	0.99378	3.71	0.63	12.8	1
1115	915	8.6	0.315	0.40	2.2	0.079	3.0	6.0	0.99512	3.27	0.67	11.9	0
1116	640	9.9	0.540	0.45	2.3	0.071	16.0	40.0	0.99910	3.39	0.62	9.4	0
1117	206	12.8	0.300	0.74	2.6	0.095	9.0	28.0	0.99940	3.20	0.77	10.8	1
1118	1185	7.0	0.430	0.30	2.0	0.085	6.0	39.0	0.99346	3.33	0.46	11.9	0

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows